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2019
2 Citations (Scopus)

AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 92-99 8 p. 8622130. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Labels
Landing
Scalability
Classifiers
2 Citations (Scopus)

Adaptive Bayesian Radio Tomography

Lee, D., Berberidis, D. & Giannakis, G. B., Apr 15 2019, In : IEEE Transactions on Signal Processing. 67, 8, p. 1964-1977 14 p., 8662745.

Research output: Contribution to journalArticle

Tomography
Imaging techniques
Radio interference
Disasters
Markov processes
1 Citation (Scopus)

Adaptive diffusions for scalable learning over graphs

Berberidis, D., Nikolakopoulos, A. N. & Giannakis, G. B., Mar 1 2019, In : IEEE Transactions on Signal Processing. 67, 5, p. 1307-1321 15 p., 8590776.

Research output: Contribution to journalArticle

Labels
Classifiers
Landing
Scalability
Topology
1 Citation (Scopus)

A Recurrent Graph Neural Network for Multi-relational Data

Ioannidis, V. N., Marques, A. G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8157-8161 5 p. 8682836. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Neural networks
Supervised learning
Network architecture

A Variational Bayes Approach to Adaptive Channel-gain Cartography

Lee, D. & Giannakis, G. B., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8434-8438 5 p. 8683300. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensors
Transceivers
Tomography
5 Citations (Scopus)

Bandit Convex Optimization for Scalable and Dynamic IoT Management

Chen, T. & Giannakis, G. B., Feb 2019, In : IEEE Internet of Things Journal. 6, 1, p. 1276-1286 11 p., 8362620.

Research output: Contribution to journalArticle

Convex optimization
Fog
Feedback
Internet of things
Decision making

Coupled Graph and Tensor Factorization for Recommender Systems and Community Detection

Ioannidis, V. N., Zamzam, A. S., Giannakis, G. B. & Sidiropoulos, N. D., Jan 1 2019, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journalArticle

Recommender systems
Factorization
Tensors
Computational complexity
1 Citation (Scopus)

Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks

Sadeghi, A., Wang, G. & Giannakis, G. B., Dec 2019, In : IEEE Transactions on Cognitive Communications and Networking. 5, 4, p. 1024-1033 10 p., 8807260.

Research output: Contribution to journalArticle

Reinforcement learning
Internet

Distributed Network Caching via Dynamic Programming

Sadeghi, A., Marques, A. G. & Giannakis, G. B., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4574-4578 5 p. 8682210. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic programming
Base stations
Next generation networks
Global optimization
Telecommunication networks
10 Citations (Scopus)

Distribution system state estimation: an overview of recent developments

Wang, G., Giannakis, G. B., Chen, J. & Sun, J., Jan 1 2019, In : Frontiers of Information Technology and Electronic Engineering. 20, 1, p. 4-17 14 p.

Research output: Contribution to journalReview article

State estimation
Smart meters
Nonlinear systems
Electric potential

Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks

Zhang, L., Wang, G. & Giannakis, G. B., Jun 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 258-262 5 p. 8755581. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

State estimation
Physics
Recurrent neural networks
Electric vehicles
Time measurement

Efficient proximal gradient algorithm for inference of differential gene networks

Wang, C., Gao, F., Giannakis, G. B., D'Urso, G. & Cai, X., May 2 2019, In : BMC bioinformatics. 20, 1, 224.

Research output: Contribution to journalArticle

Open Access
Proximal Algorithm
Gene Networks
Gene Regulatory Networks
Gradient Algorithm
Genes

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks

Sheikholeslami, F., Jain, S. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3277-3281 5 p. 8683348. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sampling
Neural networks

Fast asynchronous decentralized optimization: Allowing multiple masters

Ma, M., Ren, J., Giannakis, G. B. & Haup, J., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 633-637 5 p. 8646514. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tuning
Topology
Communication

Graph-aware Weighted Hybrid ADMM for Fast Decentralized Optimization

Ma, M. & Giannakis, G. B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1881-1885 5 p. 8645558. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tuning
Topology
Communication
2 Citations (Scopus)

Graph multiview canonical correlation analysis

Chen, J., Wang, G. & Giannakis, G. B., Jun 1 2019, In : IEEE Transactions on Signal Processing. 67, 11, p. 2826-2838 13 p., 8686218.

Research output: Contribution to journalArticle

Decomposition
Geometry

Imputation of coupled tensors and GRAPHS

Ioannidis, V. N., Zamzam, A. S., Giannakis, G. B. & Sidiropoulos, N., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1331-1335 5 p. 8646576. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Tensors
Computational complexity
4 Citations (Scopus)

Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability

Chen, T., Barbarossa, S., Wang, X., Giannakis, G. B. & Zhang, Z-L., Apr 1 2019, In : Proceedings of the IEEE. 107, 4, p. 778-796 19 p., 8648462.

Research output: Contribution to journalArticle

Scalability
Innovation
Fog
Network architecture
Internet of things
6 Citations (Scopus)

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Wang, G., Giannakis, G. B. & Chen, J., May 1 2019, In : IEEE Transactions on Signal Processing. 67, 9, p. 2357-2370 14 p., 8671751.

Research output: Contribution to journalArticle

Hinges
Chemical activation
Neural networks
1 Citation (Scopus)

Mobile Energy Transfer in Internet of Things

Zhang, Q., Wang, G., Chen, J., Giannakis, G. B. & Liu, Q., Oct 2019, In : IEEE Internet of Things Journal. 6, 5, p. 9012-9019 8 p., 8753423.

Research output: Contribution to journalArticle

Energy transfer
Wi-Fi
Technology transfer
Power control
Energy conservation
1 Citation (Scopus)

Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining

Chen, X., Ni, W., Chen, T., Collings, I. B., Wang, X., Liu, R. P. & Giannakis, G. B., Dec 1 2019, In : IEEE Transactions on Mobile Computing. 18, 12, p. 2899-2912 14 p., 8570806.

Research output: Contribution to journalArticle

Costs
Gradient methods
Network function virtualization
Virtual machine
1 Citation (Scopus)

Multiview Canonical Correlation Analysis over Graphs

Chen, J., Wang, G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2947-2951 5 p. 8683096. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bearings (structural)
Geometry
2 Citations (Scopus)

Nonlinear dimensionality reduction for discriminative analytics of multiple datasets

Chen, J., Wang, G. & Giannakis, G. B., Feb 1 2019, In : IEEE Transactions on Signal Processing. 67, 3, p. 740-752 13 p., 8565879.

Research output: Contribution to journalArticle

Principal component analysis
Feature extraction
Decomposition

Nonlinear Discriminative Dimensionality Reduction of Multiple Datasets

Chen, J., Wang, G. & Giannakis, G. B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1993-1997 5 p. 8645467. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Principal component analysis
Learning systems
Signal processing
Decomposition
Experiments
1 Citation (Scopus)

Online Graph-Adaptive Learning with Scalability and Privacy

Shen, Y., Leus, G. & Giannakis, G. B., May 1 2019, In : IEEE Transactions on Signal Processing. 67, 9, p. 2471-2483 13 p., 8666759.

Research output: Contribution to journalArticle

Scalability
Set theory
Joining
Large scale systems
Experiments

Personalized difusions for top-n recommendation

Nikolakopoulos, A. N., Berberidis, D., Karypis, G. & Giannakis, G. B., Sep 10 2019, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 260-268 9 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Scalability
Experiments
Deep neural networks
1 Citation (Scopus)

Power System State Forecasting via Deep Recurrent Neural Networks

Zhang, L., Wang, G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8092-8096 5 p. 8683139. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Electric power system measurement
Feedforward neural networks
Observability
Time series
2 Citations (Scopus)

Random feature-based online multi-kernel learning in environments with unknown dynamics

Shen, Y., Chen, T. & Giannakis, G. B., Feb 1 2019, In : Journal of Machine Learning Research. 20

Research output: Contribution to journalArticle

kernel
Unknown
Glossaries
Performance Guarantee
Regret
2 Citations (Scopus)

Real-time energy management in microgrids with reduced battery capacity requirements

Li, B., Chen, T., Wang, X. & Giannakis, G. B., Mar 1 2019, In : IEEE Transactions on Smart Grid. 10, 2, p. 1928-1938 11 p., 8214260.

Research output: Contribution to journalArticle

Energy management
Energy storage
Renewable energy resources
Costs
Industry
1 Citation (Scopus)

Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks

Zhang, L., Wang, G. & Giannakis, G. B., Aug 1 2019, In : IEEE Transactions on Signal Processing. 67, 15, p. 4069-4077 9 p., 8754766.

Research output: Contribution to journalArticle

State estimation
Recurrent neural networks
Electric power system measurement
Electric potential
Electric vehicles
3 Citations (Scopus)

Real-time power system state estimation via deep unrolled neural networks

Zhang, L., Wang, G. & Giannakis, G. B., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 907-911 5 p. 8646629. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

State estimation
Smart power grids
Electric potential
Electric vehicles
Physics

Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing

Sadeghi, A., Sheikholeslami, F., Marques, A. G. & Giannakis, G. B., Oct 1 2019, In : IEEE Journal on Selected Areas in Communications. 37, 10, p. 2267-2281 15 p., 8790766.

Research output: Contribution to journalArticle

Reinforcement learning
Costs
Network performance
Dynamic programming
Base stations

Resonant Beam Communications: Principles and Designs

Xiong, M., Liu, Q., Wang, G., Giannakis, G. B. & Huang, C., Oct 2019, In : IEEE Communications Magazine. 57, 10, p. 34-39 6 p., 8875710.

Research output: Contribution to journalArticle

Optical communication
Light emitting diodes
Communication
Signal interference
Transmitters
6 Citations (Scopus)

Robust and scalable power system state estimation via composite optimization

Wang, G., Giannakis, G. B. & Chen, J., Nov 2019, In : IEEE Transactions on Smart Grid. 10, 6, p. 6137-6147 11 p., 8632764.

Research output: Contribution to journalArticle

State estimation
Flow measurement
Composite materials
Electric potential
Real time systems

Secure Edge Computing in IoT via Online Learning

Li, B., Chen, T., Wang, X. & Giannakis, G. B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 2149-2153 5 p. 8645223. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jamming
Servers
Power spectrum
Power transmission
Internet of things
1 Citation (Scopus)

Semi-Blind inference of topologies and dynamical processes over dynamic graphs

Ioannidis, V. N., Shen, Y. & Giannakis, G. B., May 1 2019, In : IEEE Transactions on Signal Processing. 67, 9, p. 2263-2274 12 p., 8662630.

Research output: Contribution to journalArticle

Topology
Directed graphs
Set theory
Computational complexity

Semi-Supervised Tracking of Dynamic Processes over Switching Graphs

Lu, Q., Ioannidis, V. N. & Giannakis, G. B., Jun 1 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 64-68 5 p. 8755553. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Brain
Switches

Signal and Graph Perturbations via Total Least-Squares

Ceci, E., Shen, Y., Giannakis, G. B. & Barbarossa, S., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 747-751 5 p. 8645485. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Outages

Two-timescale voltage regulation in distribution grids using deep reinforcement learning

Yang, Q., Wang, G., Sadeghi, A., Giannakis, G. B. & Sun, J., Oct 2019, 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019. Institute of Electrical and Electronics Engineers Inc., 8909764. (2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Reinforcement Learning
reinforcement
Voltage control
Time Scales
2018
1 Citation (Scopus)

Active sampling for graph-aware classification

Berberidis, D. & Giannakis, G. B., Mar 7 2018, 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 648-652 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Sampling
1 Citation (Scopus)

Adaptive Bayesian Channel Gain Cartography

Lee, D., Berberidis, D. & Giannakis, G. B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3554-3558 5 p. 8461412. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transceivers
Markov processes
Sampling
Sensors
Uncertainty
15 Downloads (Pure)

Adaptive Diffusions for Scalable Learning over Graphs (MLG@KDD18)

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Aug 20 2018, Mining and Learning with Graphs Workshop @ ACM KDD 2018. p. 1 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Labels
Landing
Scalability
Classifiers
Topology

Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks

Chen, T., Li, N. & Giannakis, G. B., Aug 9 2018, 2018 Annual American Control Conference, ACC 2018. Institute of Electrical and Electronics Engineers Inc., p. 4604-4609 6 p. 8431445. (Proceedings of the American Control Conference; vol. 2018-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy resources
Electric power distribution
Agglomeration
Trajectories
Communication
3 Citations (Scopus)

Blind Multiclass Ensemble Classification

Traganitis, P. A., Pages-Zamora, A. & Giannakis, G. B., Sep 15 2018, In : IEEE Transactions on Signal Processing. 66, 18, p. 4737-4752 16 p., 8421667.

Research output: Contribution to journalArticle

Classifiers
Electric fuses
Factorization
Learning algorithms
Pattern recognition
1 Citation (Scopus)

Blind multi-class ensemble learning with dependent classifiers

Traganitis, P. A. & Giannakis, G. B., Nov 29 2018, 2018 26th European Signal Processing Conference, EUSIPCO 2018. European Signal Processing Conference, EUSIPCO, p. 2025-2029 5 p. 8553113. (European Signal Processing Conference; vol. 2018-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Electric fuses
Learning algorithms
Pattern recognition
Learning systems
4 Citations (Scopus)

Blind radio tomography

Romero, D., Lee, D. & Giannakis, G. B., Apr 15 2018, In : IEEE Transactions on Signal Processing. 66, 8, p. 2055-2069 15 p.

Research output: Contribution to journalArticle

Tomography
Calibration
Imaging techniques
Radio interference
Intrusion detection
5 Citations (Scopus)

Canonical correlation analysis of datasets with a common source graph

Chen, J., Wang, G., Shen, Y. & Giannakis, G. B., Aug 15 2018, In : IEEE Transactions on Signal Processing. 66, 16, p. 4398-4405 8 p., 8408767.

Research output: Contribution to journalArticle

Image classification
Data fusion
Feature extraction
Geometry
1 Citation (Scopus)

Canonical Correlation Analysis with Common Graph Priors

Chen, J., Wang, G., Shen, Y. & Giannakis, G. B., Aug 29 2018, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers Inc., p. 463-467 5 p. 8450749. (2018 IEEE Statistical Signal Processing Workshop, SSP 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Blind source separation
Image classification
Data fusion
Geometry
fusion

Compressive Phase Retrieval via Reweighted Amplitude Flow

Zhang, L., Wang, G., Giannakis, G. B. & Chen, J., Oct 1 2018, In : IEEE Transactions on Signal Processing. 66, 19, p. 5029-5040 12 p., 8424911.

Research output: Contribution to journalArticle

Recovery
Experiments
1 Citation (Scopus)

Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification

Berberidis, D. & Giannakis, G. B., Oct 1 2018, In : IEEE Transactions on Signal Processing. 66, 19, p. 5167-5179 13 p., 8445612.

Research output: Contribution to journalArticle

Sampling
Labels
Classifiers